RESUMO
OBJECTIVE：To provide referen ce for promoting innovation cooperation of pharmaceutical manufacturing industry among regions and building a more perfect and close pharmaceutical innovation cooperation network. METHODS ：Based on China ’s pharmaceutical manufacturing cooperation patent data published by the State Intellectual Property Office ，the main cross-region cooperation patents among 31 provinces，autonomous regions and municipalities in China in 2016 were extracted ；based on literature review ，some hypotheses were put forward about the factors that may affect the cross regional innovation cooperation of Chinese pharmaceutical manufacturing industry. Taking the provincial R&D cooperation intensity as the dependent variable and the above influencing factors as the independent variables ，QAP analysis method was used to establish the model for data analysis. RESULTS & CONCLUSIONS ：Differences in regional economic GDP ，geographic distance ，economic distance ，technical distance，and whether Beijing or Shanghai are involved in the cooperation area all have an impact on cross-regional innovation cooperation in the pharmaceutical manufacturing industry. Large regional economic GDP difference is conducive to promoting cooperation. Developed regions represented by Beijing and Shanghai have strong radiating effects and can significantly promote cooperation. Geographical distance and economic distance have a negative effect on cross-regional innovation cooperation in pharmaceutical manufacturing ，while technological distance has positive effect.
RESUMO
A number of studies have indicated that disorders of consciousness result from multifocal injuries as well as from the impaired functional and anatomical connectivity between various anterior forebrain regions. However, the specific causal mechanism linking these regions remains unclear. In this study, we used spectral dynamic causal modeling to assess how the effective connections (ECs) between various regions differ between individuals. Next, we used connectome-based predictive modeling to evaluate the performance of the ECs in predicting the clinical scores of DOC patients. We found increased ECs from the striatum to the globus pallidus as well as from the globus pallidus to the posterior cingulate cortex, and decreased ECs from the globus pallidus to the thalamus and from the medial prefrontal cortex to the striatum in DOC patients as compared to healthy controls. Prediction of the patients' outcome was effective using the negative ECs as features. In summary, the present study highlights a key role of the thalamo-basal ganglia-cortical loop in DOCs and supports the anterior forebrain mesocircuit hypothesis. Furthermore, EC could be potentially used to assess the consciousness level.